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--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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- bamec66557/MISCHIEVOUS-12B-Mix_0.5v |
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model-index: |
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- name: MISCHIEVOUS-12B-Mix_Neo |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 62.5 |
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name: strict accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_Neo |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 30.36 |
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name: normalized accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_Neo |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 11.63 |
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name: exact match |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_Neo |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 8.84 |
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name: acc_norm |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_Neo |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 11.64 |
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name: acc_norm |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_Neo |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 29.84 |
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name: accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_Neo |
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name: Open LLM Leaderboard |
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datasets: |
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- open-llm-leaderboard/bamec66557__MISCHIEVOUS-12B-Mix_Neo-details |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [bamec66557/MISCHIEVOUS-12B-Mix_0.4v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.4v) |
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* [bamec66557/MISCHIEVOUS-12B-Mix_0.5v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.5v) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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description: Merging MISCHIEVOUS-12B-Mix models with sliced slerp |
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# Metadata and Rationale |
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model_description: | |
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This configuration merges two versions of the MISCHIEVOUS-12B-Mix model: 0.4v and 0.3v. |
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0.3v was further fine-tuned on a specific dataset (ADD DATASET NAME HERE if known). |
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The sliced slerp approach allows for layer-specific control over the merging process. |
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base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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dtype: bfloat16 |
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merge_method: slerp |
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tokenizer_source: union |
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# Slices Configuration (Layer-Specific Merging) |
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slices: |
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- sources: |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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layer_range: [0, 10] |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.5v |
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layer_range: [0, 10] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.8, 0.85, 0.9, 0.95, 1.0] |
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- name: mlp |
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value: [0.9, 0.95, 1.0, 1.05, 1.1] |
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- name: layer_norm |
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value: [0.6, 0.65, 0.7, 0.75, 0.8] |
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- name: embed_tokens |
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value: [1.0] |
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- sources: |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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layer_range: [10, 20] |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.5v |
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layer_range: [10, 20] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.7, 0.75, 0.8, 0.85, 0.9] |
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- name: mlp |
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value: [1.0, 0.95, 0.9, 0.85, 0.8] |
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- name: layer_norm |
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value: [0.5, 0.55, 0.6, 0.65, 0.7] |
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- name: embed_tokens |
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value: [1.0] |
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- sources: |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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layer_range: [20, 30] |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.5v |
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layer_range: [20, 30] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.6, 0.65, 0.7, 0.75, 0.8] |
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- name: mlp |
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value: [0.8, 0.75, 0.7, 0.65, 0.6] |
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- name: layer_norm |
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value: [0.4, 0.45, 0.5, 0.55, 0.6] |
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- name: embed_tokens |
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value: [1.0] |
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- sources: |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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layer_range: [30, 40] |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.5v |
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layer_range: [30, 40] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.9, 1.0, 1.1, 1.2, 1.3] |
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- name: mlp |
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value: [0.7, 0.65, 0.6, 0.55, 0.5] |
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- name: layer_norm |
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value: [0.7, 0.75, 0.8, 0.85, 0.9] |
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- name: embed_tokens |
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value: [1.0] |
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# Regularization (Prevent Overfitting During Merging) |
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regularization: |
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- method: weight_clipping |
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clip_range: [-0.2, 0.2] |
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- method: random_noise |
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scale: 0.015 |
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- method: l2_norm |
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scale: 0.01 |
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# Postprocessing (Enhance Merged Model Quality) |
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postprocessing: |
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- operation: random_noise |
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scale: 0.0025 |
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- operation: non_linear_scaling |
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parameters: |
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function: tanh |
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- operation: sharpening |
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intensity: 0.3 |
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- operation: gaussian_smoothing |
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sigma: 1.5 |
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- operation: smoothing |
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parameters: |
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adaptive: true |
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range: [0.8, 1.2] |
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kernel_size: 5 |
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- operation: normalize |
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- operation: dynamic_scaling |
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scale_range: [0.75, 1.25] |
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# Evaluation (Crucial for Assessing Merge Quality) |
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evaluation: |
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metrics: |
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- perplexity |
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- accuracy # If applicable (e.g., classification tasks) |
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- bleu # For translation tasks |
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- rouge # For summarization tasks |
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datasets: |
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- wikitext # General language understanding |
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- lambada # Long-range dependency modeling |
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- (ADD RELEVANT TASK-SPECIFIC DATASETS HERE) |
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prompts: # Example prompts – REPLACE WITH YOUR OWN |
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- "The quick brown fox jumps over the lazy dog." |
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- "Translate 'Thank you' to Spanish:" |
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- "Write a short summary of the French Revolution." |
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# Logging and Output |
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logging: |
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output_dir: ./merged_models |
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log_level: INFO |
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# Optional: Ties Merging (Advanced Technique) |
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# ties: |
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# enabled: true |
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# method: greedy # Or "optimal", "random" |
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# layers: [0, 10, 20, 30] # Example layers for ties merging |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bamec66557__MISCHIEVOUS-12B-Mix_Neo-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |25.80| |
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|IFEval (0-Shot) |62.50| |
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|BBH (3-Shot) |30.36| |
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|MATH Lvl 5 (4-Shot)|11.63| |
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|GPQA (0-shot) | 8.84| |
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|MuSR (0-shot) |11.64| |
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|MMLU-PRO (5-shot) |29.84| |
